@article{76c9f5a1581144149fb30556779d4edf,
title = "The use of deep learning on endoscopic images to assess the response of rectal cancer after chemoradiation",
keywords = "Rectal cancer, Deep learning, Response evaluation, Organ preservation, Watch-and-wait approach, Artificial intelligence, CONVOLUTIONAL NEURAL-NETWORKS, CLINICAL COMPLETE RESPONDERS, GASTROINTESTINAL ENDOSCOPY, ARTIFICIAL-INTELLIGENCE, CLASSIFICATION, PRESERVATION, SELECTION, SOCIETY, WATCH",
author = "H.E. Haak and X.P. Gao and M. Maas and S. Waktola and S. Benson and R.G.H. Beets-Tan and G.L. Beets and {van Leerdam}, M. and J. Melenhorst",
year = "2022",
month = may,
doi = "10.1007/s00464-021-08685-7",
language = "English",
volume = "36",
pages = "3592--3600",
journal = "Surgical endoscopy and other interventional techniques",
issn = "0930-2794",
publisher = "Springer, Cham",
number = "5",
}